Providing Trauma-Informed Care During a Pandemic: How Health Care Workers at Ryan White-Funded Clinics in the Southeastern United States Responded to COVID-19 and Its Effects on Their Well-Being.

As HIV/AIDS health care workers (HCWs) deliver services during COVID-19 under difficult conditions, practicing trauma-informed care (TIC) may mitigate negative effects on mental health and well-being. This secondary qualitative analysis of a larger mixed methods study sought to understand the pandemic's impact on HCWs at Ryan White-funded clinics (RWCs) across the southeastern US and assess changes in prioritization of TIC. RWC administrators, providers, and staff were asked about impacts on clinic operations/culture, HCW well-being, institutional support for well-being, and prioritization of TIC. HCWs described strenuous work environments and decreased well-being (eg, increased stress, burnout, fear, and social isolation) due to COVID-19. RWCs initiated novel responses to disruptions of clinic operations and culture to encourage continuity in care and promote HCW well-being. Despite increased awareness of the need for TIC, prioritization remained variable. Implementing and institutionalizing trauma-informed practices could strengthen continuity in care and safeguard HCW well-being during public health emergencies.

COVID-19 and Its Effects on the Well-being of Ryan White Health Care Workers in the Southeastern United States.

Do Sleep Problems Exacerbate the Mental Health Consequences of Discrimination Among Adults?

OBJECTIVE: An emerging literature suggests that sleep may play an important role in moderating the association between discrimination and mental health problems among adolescents. However, few if any studies have considered this topic among adults. Addressing this knowledge gap, the current study examined multiple sleep parameters as moderating variables in the association between discrimination and mental health problems among adults. METHODS: Participants were 874 adults residing in small towns and semirural contexts within the Southeastern region of the United States ( Mage = 41 years, SD = 7; 57% female; 31% Black, 69% White; 52% income-to-needs < 2). Sleep duration and night-to-night variability in duration were assessed using wrist actigraphy. Established self-report measures were used to assess global sleep problems, experiences of discrimination, and mental health problems (anxiety, depression, and externalizing symptoms). RESULTS: Experiences of discrimination were associated with more depression, anxiety, and externalizing problems. Two out of three sleep parameters were found to moderate the effects of discrimination on mental health. The association between discrimination and externalizing problems (but not anxiety or depression) was attenuated among those with less night-to-night variability in sleep duration. The associations between discrimination and anxiety and externalizing problems (but not depression) were attenuated among those with fewer global sleep problems. Less variability in sleep duration and fewer global sleep problems were also directly associated with lower levels of depression, anxiety, and externalizing problems. CONCLUSIONS: Greater consistency in sleep duration from night-to-night, and fewer overall sleep problems appear to mitigate risk of mental health problems among adults, particularly in contexts where discrimination is prevalent.

Development and implementation of a pregnancy heart team at a Southeastern United States tertiary hospital: a qualitative study.

BACKGROUND: The United States has seen a significant rise in maternal mortality and morbidity associated with cardiovascular disease over the past 4 decades. Contributing factors may include an increasing number of parturients with comorbid conditions, a higher rate of pregnancy among women of advanced maternal age, and more patients with congenital heart disease who survive into childbearing age and experiencing pregnancy. In response, national medical organizations have recommended the creation of multidisciplinary obstetric-cardiac teams, also known as pregnancy heart teams, to provide comprehensive preconception counseling and coordinated pregnancy management that extend through the postpartum period. OBJECTIVE: We sought to describe the development and implementation of a pregnancy heart team for parturients with cardiac disease at a southeastern United States tertiary hospital. STUDY DESIGN: This was a qualitative study that was conducted among healthcare team members involved during the pregnancy heart team formation. Semi-structured interviews were conducted between April and May 2022, professionally transcribed, and the responses were thematically coded for categories and themes using constructs from The Consolidated Framework for Implementation Research. RESULTS: Themes identified included intentional collaboration to improve outpatient and inpatient coordination through earlier awareness of patients who meet the criteria and via documented care planning. The pregnancy heart team united clinicians around best practices and coordination to promote the success and safety of pregnancies and not only to minimize maternal health risks. Developing longitudinal care plans was critical among the pathway team to build on collective expertise and to provide clarity for those on shift to reduce hesitancy and achieve timely, vetted practices without additional consults. Establishing a proactive approach of specialists offering their perspectives was viewed as positively contributing to a culture of speaking up. Barriers to the successful development and sustainability of the pregnancy heart team included unmet administrative needs and clinician turnover within a context of shortages in staffing and high workload. CONCLUSION: This study described the process of developing and implementing a pregnancy heart team at 1 institution, thereby offering insights for future multidisciplinary care for maternal cardiac patients. Establishing pregnancy heart teams can enhance quality care for high-risk patients, foster learning and collaboration among physician and nursing specialties, and improve coordination to manage complex maternal cardiac cases.

Adapting vector surveillance using Bayesian experimental design: An application to an ongoing tick monitoring program in the southeastern United States.

Maps of the distribution of medically-important ticks throughout the US remain lacking in spatial and temporal resolution in many areas, leading to holes in our understanding of where and when people are at risk of tick encounters, an important baseline for informing public health response. In this work, we demonstrate the use of Bayesian Experimental Design (BED) in planning spatiotemporal surveillance of disease vectors. We frame survey planning as an optimization problem with the objective of identifying a calendar of sampling locations that maximizes the expected information regarding some goal. Here we consider the goals of understanding associations between environmental factors and tick presence and minimizing uncertainty in high risk areas. We illustrate our proposed BED workflow using an ongoing tick surveillance study in South Carolina parks. Following a model comparison study based on two years of initial data, several techniques for finding optimal surveys were compared to random sampling. Two optimization algorithms found surveys better than all replications of random sampling, while a space-filling heuristic performed favorably as well. Further, optimal surveys of just 20 visits were more effective than repeating the schedule of 111 visits used in 2021. We conclude that BED shows promise as a flexible and rigorous means of survey design for vector control, and could help alleviate pressure on local agencies by limiting the resources necessary for accurate information on arthropod distributions. We have made the code for our BED workflow publicly available on Zenodo to help promote the application of these methods to future surveillance efforts.

Human risk to tick encounters in the southeastern United States estimated with spatial distribution modeling.

Expanding geographic distribution and increased populations of ticks has resulted in an upsurge of human-tick encounters in the United States (US), leading to an increase in tickborne disease reporting. Limited knowledge of the broadscale spatial range of tick species is heightened by a rapidly changing environment. Therefore, we partnered with the Forest Inventory and Analysis (FIA) program of the Forest Service, U.S. Department of Agriculture and used passive tick surveillance to better understand spatiotemporal variables associated with foresters encountering three tick species (Amblyomma americanum L., Dermacentor variabilis Say, and Ixodes scapularis L.) in the southeastern US. Eight years (2014-2021) of tick encounter data were used to fit environmental niche and generalized linear models to predict where and when ticks are likely to be encountered. Our results indicate temporal and environmental partitioning of the three species. Ixodes scapularis were more likely to be encountered in the autumn and winter seasons and associated with soil organic matter, vegetation indices, evapotranspiration, temperature, and gross primary productivity. By contrast, A. americanum and D. variabilis were more likely to be encountered in spring and summer seasons and associated with elevation, landcover, temperature, dead belowground biomass, vapor pressure, and precipitation. Regions in the southeast least suitable for encountering ticks included the Blue Ridge, Mississippi Alluvial Plain, and the Southern Florida Coastal Plain, whereas suitable regions included the Interior Plateau, Central Appalachians, Ozark Highlands, Boston Mountains, and the Ouachita Mountains. Spatial and temporal patterns of different tick species can inform outdoorsmen and the public on tick avoidance measures, reduce tick populations by managing suitable tick habitats, and monitoring areas with unsuitable tick habitat for potential missed encounters.

Paget disease of bone in a southeastern Veteran population.

BACKGROUND: Paget disease of bone (PDB) is a disorder of accelerated bone remodeling resulting in bone overgrowth and impaired integrity that traditionally is described to be more frequent in individuals of European descent. Based on clinical observation, we hypothesized that among the US Southeastern Veteran population, the disease is more common among African American patients. MATERIALS AND METHODS: We conducted a cross-sectional study using the Veterans Affairs' Clinical Data Warehouse (CDW) and review of electronic medical records (EMR). Using the CDW, we identified patients from the Birmingham VA Medical Center (BVAMC) with an International Classification of Diseases code for PDB between January 2000 and December 2020. We extracted their self-reported race from the CDW and determined the proportion of African American patients, which we compared to the proportion of White patients. As a secondary goal, we extracted relevant clinical characteristics from the EMR. The statistical analysis was done using Stata/SE 14.2 for Mac. RESULTS: We identified 285 individuals from the BVAMC with PDB between January 2000 and December 2020. The proportion of African American patients was significantly higher than White patients (0.51 vs. 0.4, p = 0.0036). African American patients presented at a younger age than their peers (mean[standard deviation] age at diagnosis: 64.6[11.6] vs. 70.1[10.7] years, p = 0.0009) but did not have higher alkaline phosphatase levels, higher proportion of polyostotic disease, or of symptoms and complications. CONCLUSIONS: In the BVAMC population, PDB is more common among African American patients than White patients. Our findings and other publications hint at the existence of a cluster of PDB among the African American population in the US Southeast.

Social support in relation to posttraumatic stress disorder symptoms among patients with violent versus nonviolent injury.

OBJECTIVE: Violent injuries have become increasingly more common in the United States. Individuals experiencing violent injury are at increased risk for the development of posttraumatic stress disorder (PTSD) as compared to those experiencing nonviolent injury. Social support is touted as a protective factor against various psychiatric symptoms (i.e., PTSD), though little is known about the relation between PTSD symptoms and social support in traumatic injury populations. The aims of the present paper were twofold: (1) examine the prevalence of PTSD as a function of injury type (2) explore differences in levels of social support as a function of injury type and (3) explore the association between injury type and later PTSD symptoms as moderated by baseline social support. METHOD: Participants were 553 adults from a level-one trauma center in the Southeast United States who experienced a violent injury or nonviolent injury and completed measures of social support at baseline as well as PTSD symptoms at the 30-day follow-up timepoint. The study utilized data from both the baseline timepoint (i.e., upon admission to the trauma surgery unit), as well as a 30-day follow-up timepoint. RESULTS: Results demonstrated that those endorsing nonviolent injury reported lower levels of social support and PTSD symptoms. Social support predicted later PTSD symptoms until injury type was included as a covariate in the model. Social support did not moderate the relationship between injury type and later PTSD symptoms. CONCLUSIONS: Findings highlight the interrelatedness of key risk variables (i.e., injury type) with protective factors in influencing the trajectory of psychopathology postinjury. Violence intervention and interruption programs may have the capacity to fill patient needs when social support networks are insufficient. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A 7-year analysis of attributable costs of healthcare-associated infections in a network of community hospitals in the southeastern United States.

We calculated the attributable cost of several healthcare-associated infections in a community hospital network: central-line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), hospital-onset Clostridioides difficile infections (CDI-HOs) (43 hospitals); surgical site infections (SSIs) (40 hospitals). From 2016 to 2022, the total cost of CLABSIs, CAUTIs, CDI-HOs, and SSIs was $420,012,025.

Epidemiologic investigation and genetic characterization of canine respiratory coronavirus in the Southeastern United States.

Canine respiratory coronavirus (CRCoV) is one of the main causative agents of canine infectious respiratory disease (CIRD), an illness whose epidemiology is poorly understood. We assessed the prevalence, risk factors, and genetic characterization of CRCoV in privately owned dogs in the Southeastern United States. We PCR-screened 189 nasal swabs from dogs with and without CIRD clinical signs for 9 CIRD-related pathogens, including CRCoV; 14% of dogs, all diagnosed with CIRD, were positive for CRCoV, with a significantly higher rate of cases in younger dogs and during warmer weather. Notably, the presence of CRCoV, alone or in coinfection with other CIRD pathogens, was statistically associated with a worse prognosis. We estimated a CRCoV seroprevalence of 23.7% retrospectively from 540 serum samples, with no statistical association to dog age, sex, or season, but with a significantly higher presence in urban counties. Additionally, the genomes of 6 CRCoVs were obtained from positive samples using an in-house developed targeted amplicon-based approach specific to CRCoV. Subsequent phylogeny clustered their genomes in 2 distinct genomic groups, with most isolates sharing a higher similarity with CRCoVs from Sweden and only 1 more closely related to CRCoVs from Asia. We provide new insights into CIRD and CRCoV epidemiology in the Southeastern United States and further support the association of CRCoV with more severe cases of CIRD. Additionally, we developed and successfully tested a new amplicon-based approach for whole-genome sequencing of CRCoV that can be used to further investigate the genetic diversity within CRCoVs.

Flavobacterium covae is the predominant species of columnaris-causing bacteria impacting the Channel Catfish industry in the southeastern United States.

OBJECTIVE: Columnaris disease is a leading cause of disease-related losses in the catfish industry of the southeastern United States. The term "columnaris-causing bacteria" (CCB) has been coined in reference to the four described species that cause columnaris disease: Flavobacterium columnare, F. covae, F. davisii, and F. oreochromis. Historically, F. columnare, F. covae, and F. davisii have been isolated from columnaris disease cases in the catfish industry; however, there is a lack of knowledge of which CCB species are most prevalent in farm-raised catfish. The current research objectives were to (1) sample columnaris disease cases from the U.S. catfish industry and identify the species of CCB involved and (2) determine the virulence of the four CCB species in Channel Catfish Ictalurus punctatus in controlled laboratory challenges. METHODS: Bacterial isolates or swabs of external lesions from catfish were collected from 259 columnaris disease cases in Mississippi and Alabama during 2015-2019. The DNA extracted from the samples was analyzed using a CCB-specific multiplex polymerase chain reaction to identify the CCB present in each diagnostic case. Channel Catfish were challenged by immersion with isolates belonging to each CCB species to determine virulence at ~28°C and 20°C. RESULT: Flavobacterium covae was identified as the predominant CCB species impacting the U.S. catfish industry, as it was present in 94.2% (n = 244) of diagnostic case submissions. Challenge experiments demonstrated that F. covae and F. oreochromis were highly virulent to Channel Catfish, with most isolates resulting in near 100% mortality. In contrast, F. columnare and F. davisii were less virulent, with most isolates resulting in less than 40% mortality. CONCLUSION: Collectively, these results demonstrate that F. covae is the predominant CCB in the U.S. catfish industry, and research aimed at developing new control and prevention strategies should target this bacterial species. The methods described herein can be used to continue monitoring the prevalence of CCB in the catfish industry and can be easily applied to other industries to identify which Flavobacterium species have the greatest impact.

Access to Federally Qualified Health Centers and HIV Outcomes in the U.S. South.

INTRODUCTION: Federally Qualified Health Centers may increase access to HIV prevention, care, and treatment for at-risk populations. METHODS: A pooled cross section of ZIP Code Tabulation Areas from cites in the U.S. South with high HIV diagnoses were used to examine Federally Qualified Health Center density and indicators of HIV epidemic control. The explanatory variable was Federally Qualified Health Center density-number of Federally Qualified Health Centers in a ZIP Code Tabulation Areas' Primary Care Service Area per low-income population-high versus medium/low (2019). Outcomes were 5-year (2015-2019 or 2014-2018) (1) number of new HIV diagnoses, (2) percentage late diagnosis, (3) percentage linked to care, and (4) percentage virally suppressed, which was assessed over 1 year (2018 or 2019). Multiple linear regression was used to examine the relationship, including ZIP Code Tabulation Area-level sociodemographic and city-level HIV funding variables, with state-fixed effects, and data analysis was completed in 2022-2023. Sensitivity analyses included (1) examining ZIP Code Tabulation Areas with fewer non-Federally Qualified Health Center primary care providers, (2) controlling for county-level primary care provider density, (3) excluding the highest HIV prevalence ZIP Code Tabulation Areas, and (4) excluding Florida ZIP Code Tabulation Areas. RESULTS: High-density ZIP Code Tabulation Areas had a lower percentage of late diagnosis and virally suppressed, a higher percentage linked to care, and no differences in new HIV diagnoses (p<0.05). In adjusted analysis, high density was associated with a greater number of new diagnoses (number or percentage=5.65; 95% CI=2.81, 8.49), lower percentage of late diagnosis (-3.71%; 95% CI= -5.99, -1.42), higher percentage linked to care (2.13%; 95% CI=0.20, 4.06), and higher percentage virally suppressed (1.87%; 95% CI=0.53, 2.74) than medium/low density. CONCLUSIONS: Results suggest that access to Federally Qualified Health Centers may benefit community-level HIV epidemic indicators.

Racial and ethnic variation in presentation and outcomes of high-grade soft tissue sarcoma at a Southeastern United States comprehensive cancer center.

BACKGROUND: High-grade soft tissue sarcoma is rare and associated with poor prognosis. This study examines racial and ethnic variation in presentation and outcomes at a Southeastern US cancer center. METHODS: Among an institutional cohort of patients seen between January 2016-December 2021, racial and ethnic differences were evaluated using chi-squared tests, Kaplan Meier curves, and Cox proportional hazards models. RESULTS: There were 295 patients (71 â€‹% Non-Hispanic White, 24 â€‹% Black, 3 â€‹% Hispanic White, 2 â€‹% Other). Black representation was greater than national cohorts (24 â€‹% vs. 12 â€‹%). Histological subtype varied by race/ethnicity (p â€‹= â€‹0.007). Adjusting for histology and stage, survival was worse for Black vs. White patients (HR 1.71, 95 â€‹% CI 1.07-2.76) and those with metastatic disease (5.47, 3.54-8.44). In non-metastatic patients, survival differences for Black vs. White patients were attenuated by receipt of multi-modal treatment (1.53, 0.82-2.88). CONCLUSION: Observed racial disparities in survival of high-grade sarcoma may be addressed by early, multidisciplinary management.

Factors affecting COVID-19's mental health impact on college students in the southeastern United States.

Emerging evidence confirms COVID-19's negative impact on college students' mental health; however, more research is needed to identify factors that promoted or hindered college students' mental health early in the pandemic. This exploratory study addressed this need. Participants were 697 students attending a large, state, urban university in the southeastern United States. Using a cross-sectional survey design, participants completed an anonymous, online survey assessing socio-demographic variables, mental health issues, and activities during the lockdown period in 2020. Findings suggest college students in the southeastern US who were women or transgender men and had pre-existing mental health conditions, fewer routine activities, and high exposure to COVID-19 news reported more mental health problems early in the pandemic. Students who exercised daily had fewer symptoms of anxiety and post-traumatic stress than students who exercised monthly, but there were no differences in emotional responses to COVID-19 based on exercise frequency. Tailored strategies to address college students' needs in response to the current or future pandemics are needed and should take into consideration factors that promote or hinder mental health. Patient or Public Contribution: College students were participants in this study. College students who were not participants in this study assisted with the implementation of this study.

Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.

Staphylococcus aureus (S. aureus) is known to cause human infections and since the late 1990s, community-onset antibiotic resistant infections (methicillin resistant S. aureus (MRSA)) continue to cause significant infections in the United States. Skin and soft tissue infections (SSTIs) still account for the majority of these in the outpatient setting. Machine learning can predict the location-based risks for community-level S. aureus infections. Multi-year (2002-2016) electronic health records of children <19 years old with S. aureus infections were queried for patient level data for demographic, clinical, and laboratory information. Area level data (Block group) was abstracted from U.S. Census data. A machine learning ecological niche model, maximum entropy (MaxEnt), was applied to assess model performance of specific place-based factors (determined a priori) associated with S. aureus infections; analyses were structured to compare methicillin resistant (MRSA) against methicillin sensitive S. aureus (MSSA) infections. Differences in rates of MRSA and MSSA infections were determined by comparing those which occurred in the early phase (2002-2005) and those in the later phase (2006-2016). Multi-level modeling was applied to identify risks factors for S. aureus infections. Among 16,124 unique patients with community-onset MRSA and MSSA, majority occurred in the most densely populated neighborhoods of Atlanta's metropolitan area. MaxEnt model performance showed the training AUC ranged from 0.771 to 0.824, while the testing AUC ranged from 0.769 to 0.839. Population density was the area variable which contributed the most in predicting S. aureus disease (stratified by CO-MRSA and CO-MSSA) across early and late periods. Race contributed more to CO-MRSA prediction models during the early and late periods than for CO-MSSA. Machine learning accurately predicts which densely populated areas are at highest and lowest risk for community-onset S. aureus infections over a 14-year time span.

Relationship between drinking risk and preferences for helping resources among emerging adults living in disadvantaged communities in the Southeastern United States.

Compared to campus-based alcohol interventions for college students, services for emerging adult (EA) risky drinkers who reside off-campus in disadvantaged communities are not well established. This web survey assessed drinking practices, problems, and preferences for professional and lay helping resources spanning digital and in-person formats among community-dwelling EAs to guide services for them and determine whether drinking risk levels varied by preferences for help. Digital respondent-driven sampling recruited EA risky drinkers from disadvantaged communities (N = 356; M age = 23.6 years, 64.0% women, 77.4% employed, 64.9% residing in impoverished areas above the US average, 53.5% income < $20k/year). A web survey assessed participants' drinking practices and problems, including alcohol use disorder symptoms, and help-seeking preferences for smartphone apps; online help; in-person help from doctors, clinics, teachers, and school programs; mutual help groups; and help from friends and family. Preferences were related to participant drinking risks using generalized linear modeling. Modeling results showed that risk levels were related to help-seeking preferences. EAs reporting more negative consequences preferred smartphone apps and help from friends, whereas EAs reporting fewer negative consequences and drinking days preferred professional in-person help (Ps < 0.05). Although >90% fulfilled alcohol use disorder diagnostic criteria, <4% had received an alcohol-related intervention. EAs who are riskier drinkers appear less likely to use professional resources in favor of informal and online resources that allow greater anonymity. Findings can guide services for this underserved population that are responsive to drinker risk levels.

The association between social functioning and health literacy among rural Southeastern African Americans with hypertension.

African Americans living in low socioeconomic circumstances are at high risk of poor health outcomes; this is particularly true for those with hypertension. Many African Americans with chronic hypertension living in the rural impoverished Southeastern USA have low health literacy and are socially isolated. These factors are known to have a negative impact on health outcomes, but it is possible that social support may overcome some of the effect of low health literacy. Since little has been reported about this association, we examined the association between social functioning and health literacy in a rural African American population in the Southeast USA. We used baseline data from participants in the Southeastern Collaboration to Improve Blood Pressure Control, a pragmatic trial that recruited rural African Americans with persistently uncontrolled hypertension and collected survey data. Overall, 33.5% of the 1221 person sample reported social isolation, 26.0% reported low instrumental support, 36.0% reported low emotional support, and 63.4% had inadequate health literacy. All three domains of low social functioning were significantly associated with low health literacy, and this effect was robust to multivariable adjustment for sociodemographics and cognitive functioning for social isolation (adjusted odds ratio 1.62, 95% confidence intervals 1.20-2.20). In conclusion, the majority of this sample living in the NC and AL Black Belt had high social functioning but inadequate health literacy. Tests of interventions to improve social support, especially social isolation, may be warranted to overcome low health literacy in this high-risk rural population.

Does marking as sterile mean really sterile? Stenotrophomonas maltophilia outbreak caused by a blood-gas injector containing liquid heparin.

An outbreak investigation was initiated after detecting an increase in the number of patients with Stenotrophomonas maltophilia bloodstream infections (SM-BSIs) througout the hospital. S. maltophilia was isolated from the cultures of blood-gas injectors containing liquid heparin. The incidence density of SM-BSIs decreased significantly after prohibiting the use of those injectors.

One size does not fit all: Preferences for HIV care delivery among out-of-care people living with HIV in the Southeastern United States.

Approximately half of the people with HIV (PWH) in the United States are retained in HIV care and only 57% have achieved viral suppression, due to barriers including transportation access, stigma, poor mental health, substance use, and medical mistrust. Community-based HIV care models have potential to address the diverse needs of patients and to improve retention in care, but their success is contingent on acceptance by patients and key community stakeholders. Recognizing that the preferences of PWH who are out-of-care (PWH-OOC) likely differ from those retained in care, we conducted a mixed-methods study from June 2019 to May 2021 composed of surveys with PWH-OOC (n = 50) and in-depth interviews with key clinic and community stakeholders (n = 41) to examine the relative preference and perceived advantages and disadvantages for six different community-based HIV care models versus the traditional fixed-clinic model. Survey data was analyzed to assess average rank preference for each care model and interview transcripts were thematically coded to examine factors influencing model acceptance. The highest preference for care delivery was via a mobile clinic, followed by community-based peer navigation, primary care clinics, telemedicine, traditional HIV subspeciality clinic, homeless shelter, and drug treatment center. Common factors influencing preference included convenience, accessibility, potential to preserve confidentiality, quality of care assurance, opportunity to develop rapport with their HIV care provider, access to a smart device, and potential to alleviate versus exacerbate HIV stigma. Participants discussed need for integration of care models and for individuals to choose different care models at different times. Providers and patients differed in preference for care model and weighting of relative advantages and disadvantages of each. Findings highlight the need to integrate alternative, community-based care models into the national plan to end the HIV epidemic and to allow for PWH-OOC to choose the model most fitting based on individual circumstances.

Assessing the role of collectivism and individualism on COVID-19 beliefs and behaviors in the Southeastern United States.

America's unique response to the global COVID-19 pandemic has been both criticized and applauded across political and social spectrums. Compared to other developed nations, U.S. incidence and mortality rates were exceptionally high, due in part to inconsistent policies across local, state, and federal agencies regarding preventive behaviors like mask wearing and social distancing. Furthermore, vaccine hesitancy and conspiracy theories around COVID-19 and vaccine safety have proliferated widely, making herd immunity that much more challenging. What factors of the U.S. culture have contributed to the significant impact of the pandemic? Why have we not responded better to the challenges of COVID-19? Or would many people in the U.S. claim that we have responded perfectly well? To explore these questions, we conducted a qualitative and quantitative study of Florida State University faculty, staff, and students. This study measured their perceptions of the pandemic, their behaviors tied to safety and community, and how these practices were tied to beliefs of individualism and collectivism. We found that collectivist orientations were associated with a greater likelihood of wearing masks consistently, severe interruptions of one's social life caused by the pandemic, greater concern for infecting others, and higher levels of trust in medical professionals for behavioral guidelines surrounding the pandemic. These associations largely persist even after adjusting for political affiliation, which we find is also a strong predictor of COVID-19 beliefs and behaviors.